运动学
扭矩
控制理论(社会学)
机制(生物学)
反向动力学
脚踝
机器人
执行机构
计算机科学
工作(物理)
惯性
并联机械手
逆动力学
力矩(物理)
机器人运动学
步态
转动惯量
模拟
工程类
移动机器人
机械工程
物理
控制(管理)
物理医学与康复
人工智能
热力学
病理
经典力学
医学
量子力学
作者
Yisen Hu,Xinyu Wu,Hongyu Ding,Kang Li,Jingchen Li,Jianxin Pang
标识
DOI:10.1109/iccar52225.2021.9463499
摘要
Walking is an essential ability for biped robots, and the stability of walking is affected by both mechanical structure and control algorithm. In this work, a new design of legs with low moment of inertia was proposed. Due to the application of parallel mechanism, the inverse kinematics solution was analytically derived, while the forward kinematics solution was numerically obtained, using the neural network method. Walking at 2.0 km/h was achieved in dynamics simulation, and the results of original design and new design in the same gait planning method were compared. It's indicated that the torque requirement of new design was lower than that of original one. The torque requirements for hip yaw, hip pitch, knee pitch and ankle joints decrease with the decreasing moment of inertia of legs, and those for hip roll, knee pitch and ankle joints decrease with the decreasing mass of whole robot. Moreover, the parallel mechanism makes the actuators support the motion of joints together, leading to the decreasing torque requirements.
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